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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up ElasticSearch 3. Managing Mapping 4. Standard Operations 5. Search, Queries, and Filters 6. Facets 7. Scripting 8. Rivers 9. Cluster and Nodes Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Flushing an index


ElasticSearch for performance reasons stores some data in memory and on a transaction log. If we want to free the memory, empty the translation log and be sure that our data is safely written on the disk we need to flush an index.

Getting ready

You need a working ElasticSearch cluster and the index created in the Creating an index recipe.

How to do it...

The HTTP method used for both operations is POST.

The URL format for flushing an index is as follows:

http://<server>/<index_name(s)>/_flush[?refresh=True] 

The URL format for flushing all the indices in a cluster is as follows:

http://<server>/_flush[?refresh=True] 

For flushing an index, we need to perform the following steps:

  1. If we consider the type order of the previous chapter, the call will be as follows:

    curl -XPOST 'http://localhost:9200/myindex/_flush?refresh=True'
    
  2. If everything is all right, the result returned by ElasticSearch should be as follows:

    {"ok":true,"_shards":{"total":4,"successful":2,"failed...
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